Examining Success Criteria in the Integration of Financial and Managerial Accounting Systems in Organizations
Keywords:
Financial accounting systems, managerial accounting, Random Forest Regressor, system integrationAbstract
Objective: This study aims to prioritize the success criteria in integrating managerial and financial accounting systems within organizations. Methodology: To conduct this research, the relevant criteria were first identified through a literature review. The research instrument was a 12-item questionnaire designed using a five-point Likert scale based on the identified criteria. To ensure the questionnaire's validity, feedback was obtained from 10 expert specialists. The questionnaire's reliability was assessed using Cronbach's alpha. The data were analyzed using the Random Forest Regressor algorithm in the Python environment. Initially, the data were divided into training (80%) and testing (20%) sets. The algorithm was then executed on the training data, and the importance of each criterion was calculated using the "feature importance" attribute. To evaluate the results, a Receiver Operating Characteristic (ROC) curve was plotted. Findings: According to the findings, the criterion of "accuracy of financial reports" had the highest impact on the success of system integration, with a weight of 0.245. This was followed by "financial transparency" at 0.220 and "alignment with organizational objectives" at 0.180. The criteria of "ease of use" and "speed of information delivery" were also significantly important, with weights of 0.145 and 0.095, respectively. The least significant criteria were "technological integration capability" and "impact on strategic decision-making," which influenced the success of financial and managerial accounting system integration by 0.045 and 0.035, respectively. Conclusion: The results identified 10 key factors influencing the success of integrating accounting and managerial systems in organizations. Aligning accounting systems with organizational objectives is essential for improving decision-making, enhancing operational efficiency, strengthening accountability, and facilitating change management.